Who should take the C2090-424 exam
The InfoSphere DataStage v11.3 C2090-424 Exam certification is an internationally-recognized validation that identifies persons who earn it as possessing skilled as IBM Certified Solution Developer. If a candidate wants significant improvement in career growth needs enhanced knowledge, skills, and talents. The IBM Certified Solution Developer C2090-424 Exam certification provide proof of this advanced knowledge and skill. If a candidate has knowledge of associated technologies and skills that are required to pass InfoSphere DataStage v11.3 C2090-424 Exam then he should take this exam.
Reference: https://www.ibm.com/certify/exam?id=C2090-424
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This is exam is very difficult for those candidates who don't practice during preparation and candidates need a lab for practicing. Then practical exposure is much required to understand the contents of the exam. So, if anyone is associated with some kinds of an organization where he has opportunities to practice but if you can't afford the lab and don't have time to practice. So, ValidVCE is the solution to this problem. We provide the best IBM C2090-424 exam dumps and practice test for your preparation. IBM C2090-424 exam dumps to ensure your success in IBM Certified Solution Developer Certification Exam at first attempt. Our IBM C2090-424 exam dumps are updated on regular basis. ValidVCE has the combination of PDF and VCE file that will be much helpful for candidates in passing the exam. ValidVCE provides verified questions with relevant answers which will be asked from candidates in their final exam. So, it makes it for candidates to get good grades in the final exam and one of the best features is we also provide IBM C2090-424 exam dumps in PDF format which is candidates can download and study offline.
IBM C2090-424 Exam topics
Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our C2090-424 exam dumps will include the following topics:
- Parallel Architecture: 9%
- Data Transformation: 12%
- Job Control and Runtime Management: 8%
- Configuration: 6%
- Job Components: 8%
- Job Design: 14%
- Persistent Storage: 15%
- Monitor and Troubleshoot: 9%
- Job Management and Deployment: 8%
- Databases: 6%
- Metadata: 5%
IBM C2090-424 Exam Syllabus Topics:
| Topic | Details | Weights |
|---|---|---|
| Job Management and Deployment | -Demonstrate knowledge of DataStage Designer Repository utilities such as advanced find, impact analysis, and job compare. -Articulate the change control process. -Knowledge of Source Code Control Integration. -Demonstrate the ability to define packages, import, and export using the ISTool utility. -Demonstrate the ability to perform admin tasks with tools such as Directory Admin. | 8% |
| Databases | -Demonstrate proper selection of database stages and database specific stage properties. -Identify source database options. -Demonstrate knowledge of target database options. -Demonstrate knowledge of the different SQL input/creation options and when to use each. | 6% |
| Data Transformation | -Demonstrate knowledge of default type conversions, output mappings, and associated warnings. -Demonstrate proper selections of Transformer stage vs. other stages. -Describe Transformer stage capabilities. -Demonstrate the use of Transformer stage variables. -Identify process to add functionality not provided by existing DataStage stages. -Demonstrate proper use of SCD stage. -Demonstrate job design knowledge of using runtime column propagation (RCP). -Demonstrate knowledge of Transformer stage input and output loop processing. | 12% |
| Metadata | -Demonstrate knowledge of framework schema. -Identify the method of importing, sharing, and managing metadata. -Demonstrate knowledge of runtime column propagation (RCP). | 5% |
| Parallel Architecture | -Demonstrate proper use of data partitioning and collecting. -Demonstrate knowledge of parallel execution. | 9% |
| Job Components | -Demonstrate knowledge of Join, Lookup and Merge stages. -Demonstrate knowledge of Sort stage. -Demonstrate understanding of Aggregator stage. -Describe proper usage of change capture/change apply. -Demonstrate knowledge of real-time components. | 8% |
| Job Control and Runtime Management | -Demonstrate knowledge of message handlers. -Demonstrate the ability to use the dsjob command line utility. -Demonstrate ability to use job sequencers. -Create and manage encrypted passwords and credentials files. | 8% |
| Configuration | -Describe how to properly configure DataStage. -Identify tasks required to create and configure a project to be used for jobs. -Given a configuration file, identify its components and its overall intended purpose. -Demonstrate proper use of node pools. | 6% |
| Job Design | -Demonstrate knowledge of shared containers. -Describe how to minimize Sorts and repartitions. -Demonstrate knowledge of creating restart points and methodologies. -Explain the process necessary to run multiple copies of the source. -Knowledge of creating DataStage jobs that can be used as a service. -Knowledge of balanced optimization. -Describe the purpose and uses of parameter sets and how they compare with other approaches for parameterizing jobs. -Demonstrate the ability to create and use Data Rules using the Data Rules stage to measure the quality of data. -Demonstrate various methods of using DataStage to handle encrypted data. | 14% |
| Persistent Storage | -Explain the process of importing/exporting data to/from framework. -Demonstrate proper use of a Sequential File stage. -Demonstrate proper usage of Complex Flat File stage. -Demonstrate proper usage of FileSets and DataSets. -Demonstrate use of FTP stage for remote data. -Demonstrate use of restructure stages. -Identify importing/exporting of XML data. - Knowledge of balanced optimization for Hadoop and integration of oozie workflows. -Demonstrate proper use of File Connector stage. -Demonstrate use of DataStage to handle various types of data including unstructured, hierarchical, Cloud, and Hadoop. | 15% |
| Monitor and Troubleshoot | -Demonstrate knowledge of parallel job score. -Identify and define environment variables that control DataStage with regard to added functionality and reporting. -Given a process list, identify conductor, section leader, and player process. -Identify areas that may improve performance. -Demonstrate knowledge of runtime metadata analysis and performance monitoring. -Ability to monitor DataStage jobs using the Job Log and Operations Console. | 9% |
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